SFDI2019: Second Workshop on Software Foundations for Data Interoperability

February 27, 2019, Kyoto University, Japan

Objective

Big data processing is now widely employed in all aspects of our lives. Usually, parts or copies of a huge amount of
data are stored in separate locations, and is infeasible to be collected and processed in a centralized manner, as
it would be exceedingly inefficient to transfer them over the network. We therefore need new software foundations based
on which big data can be efficiently analyzed and shared in a distributed way.

A highly relevant research area is bidirectional transformations, which provide a reliable mechanism for data synchronization.
The study of bidirectional transformations originates from the long-standing problem of view updating in databases,
and has led to a rich collection of bidirectional languages with new programming models tailored for data synchronization.
Despite the potential in solving practical synchronization problems including data interoperability, bidirectional
technologies are not widely employed yet, and most applications of bidirectional transformations remain only proof
of concept.

This workshop aims at fostering discussion, exchange, and innovation in research and development in software foundations
for data interoperability based on bidirectional transformation. Researchers and professionals from software, database,
big data processing, and distributed and parallel processing are invited to share their knowledge and experience.

Topics of Interest

This workshop will provide a forum for the discussion of challenges and technical solutions to address software foundations
for data interoperability based on bidirectional transformation. Topics of interest include, but are not limited to:

Bidirectional Programming

Big Data Integration

Data Exchange

Data Interroperability

Data Provenance

Data Synchronization

Distributed Data Management

Distributed Collaborative Systems

Inverse Programming

Large-scale data analysis

P2P Data Sharing/Management

Schema Mapping Technique

Query Optimization

Query Parallelization

Important dates

Abstract registration deadline: December 3 December 7, 2018

Submission deadline: December 3 December 7, 2018

Notification: December 30 December 28, 2018

Camera-ready copy due: January 7, 2019

Author registration: January 7, 2019

Organization

Organizing Committee:

Zhenjiang Hu (NII)

Alexander Löser (Beuth University of Applied Sciences Berlin)

Makoto Onizuka (Osaka University)

Program Committee:

Yasuhito Asano (Kyoto University)

George Fletcher (Eindhoven University of Technology)

Torsten Grust (Universitat Tubingen)

Alon Halevy (Megagon Labs)

Soichiro Hidaka (Hosei University)

Yasunori Ishihara (Nanzan University)

Hiroyuki Kato (NII)

Keisuke Nakano (Tohoku University)

Chuan Xiao (Nagoya University)

Contact

All questions about submissions should be emailed to Makoto Onizuka (onizuka at ist.osaka-u.ac.jp)